Work

Prioritization of Modules to Reduce Software Testing Time and Costs Using Evolutionary Algorithms and the KLOC Method

Year: 2025

Type: article

Abstract: Research in software testing is essential due to its critical role in the Software Development Life Cycle (SDLC), often consuming up to 50% of development costs. This study focuses on optimizing testing processes to reduce time and costs while maintaining quality. Using a KLOC-based approach, genetic algorithms, and evolutionary techniques, the research prioritizes modules by assigning testing time based on importance, ensuring efficient testing of critical components. Applicable to maintenance, development, and reengineering projects, this model enhances cost efficiency and consistency. The findings emphasize the need for innovative methodologies in software testing to improve precision, reduce errors, and manage resources effectively.

Source: Journal of education for pure science.

DOI: 10.32792/jeps.v15i1.658

Author: Tahseen Sabbar rheaf

Language: English

Topic: Software Testing and Debugging Techniques

Subfield: Software

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

OpenAlex ID: W4408514713

FWCI:

Cites:

Cited by:

Related to: 10